Structural and Percolation Models of Intelligence
To the Question of the Reduction of the Neural Network
D. Zhukov*; I. Samoylo†; J.W. Brooks‡; V. Hodges‡ * Moscow State Technical University of Radio Engineering, Electronics and Automation “MIREA”, Moscow, Russia† I.M. Sechenov First Moscow State Medical University, Moscow, Russia‡ Premier Education Group, New Haven, CT, United States
Abstract
This paper discusses the questions of the application of percolation theory to explain the phenomenon of the reduction of the neural network in the process of ontogenesis. The use of the percolation approach can be practically useful in solving problems of the development of more efficient models of artificial neural networks, and for the ...
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